Purpose: The complexity and criticality of healthcare services highlight the importance of maintenance management function in healthcare facilities. Design/methodology/approach: The paper categorizes the literature and adopts a review hierarchy according to maintenance management. PDF | In some ways, the planning of health facilities may appear to be simple and therefore an easy aspect of health service provision. The building of a new. While hospitals and health clinics are not a specific focus of mitigation assessment by the systematically, a powerful new dimension of measures to address climate change emerges water_safety_buildings_marchpdf). Farley M.

New Health Facilities Pdf

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CHAPTER 1: Considerations for building Health Care facilities 1 . $ billion investment in new hospital construction expected in the next five. This paper presents a research which analyses healthcare facilities not just .. equivalents are being prioritised in the new NHS, care support services (FM) will. Applicability. The EHS Guidelines for Health Care Facilities include to verify the adequacy of planning for new HCFs or renovation of existing water_sanitation_health/medicalwaste/

Health facilities are places that provide health care. They include hospitals, clinics, outpatient care centers, and specialized care centers, such as birthing centers and psychiatric care centers. Quality is important. Some facilities do a better job than others. One way to learn about the quality of a facility is to look at report cards developed by federal, state, and consumer groups.

You Are Here: Health Facilities Also called: Health care facilities. On this page Basics Summary.

Health Facilities

Learn More Related Issues Specifics. Research Statistics and Research Journal Articles. Generally, the estimated i. Primary health care: provision of health care at this density does not depend on the kernel function level is largely the responsibility of local choice, but is strongly affected by the smoothing governments and is supported by the State ministry parameter value.

Larger smoothing parameters of health. Secondary health care: this level of health care parameters result in a bumpy density surface [26].

These adaptive kernels. The fixed kernel function is services are provided through out-patient and in- usually less computationally intensive than the patient hospital services, which include general adaptive kernel function and uses an optimal spatial medical, surgical, and paediatric cases and kernel bandwidth over the study space.

Secondary health care is Unfortunately, this method produces high local available at the district, divisional and zone levels of estimation variance in areas where data are sparse, the State.

Adequate supportive services, such as which may mask subtle local variations in areas laboratory, diagnostics, blood bank, rehabilitation where data are dense [27, 28, 29]. In contrast, the and physiotherapy are also provided. Tertiary health care: consists of highly specialised kilometers. Though, the majority of the facilities is services, such as orthopaedic, eye, psychiatric, and concentrated in the central part of the city. These services are provided by education and at specialist hospitals.

Appropriate support services are incorporated into the development of these tertiary facilities to provide effective referral services. Generally, maps that depict the locations of health facilities are very useful for health planners.

For example, these maps help planners to quickly identify the spatial distribution of health facilities within a community. In addition, these maps allow planners to determine which areas lack such facilities.

However, such maps do not exist in Yola. Using Symbology from the Spatial Analyst Tool, the health care facilities in Yola were mapped based on different classes i. Forty of these facilities are located in Jimeta i. Private health care centres in Yola. It can also be observed that the northern and western parts of Jimeta, and southern part of Yola-Town are In addition, a KDE was applied by using a search radius underserved Figure 3.

The results showed a high concentration of health care facilities in Jimeta, especially in the city centre i. Figure 3. Public health care centres in Yola. From Figure 4, it can be observed that only three private health care facilities are found in Yola-Town. This means that the residents of Yola-Town have very few options in terms of private health care services or rather they have to Figure 5.

Density surface of health care centres in Yola. This is quite different for residents of Jimeta that B. Population distribution have access within a distance of less than 2, m or few Population variables impact the level, nature, type, and variety of health service demands and the resulting service Copyright c IARIA, Thus, knowledge regarding these demographic i Proximity to health facilities variables is essential for the development and delivery of In this study, a buffer analysis is applied to define the health services because it is used to plan and target service proximity to health care facilities.

Buffers were created provisions. This observation is particularly true for around all of the facilities in the study area by using the population based and location based health care planning and Municipal planning standard with a radius of 1 kilometre in community health programs [33, 34]. In an attempt to understand the spatial distribution of the The results show that some areas in Yola are located outside Yola population, the projected population based on the of the 1 kilometre accessibility zones, especially in the political ward was used to generate a population density western and northern parts of Jimeta.

In addition, it is clear surface by applying the KDE. After several trials, a search that the existing health care centres must serve a catchment radius of 1, m with a cell size output of was selected area that is larger than the standard size. Based on this as the most suitable for this application. The result showed that the high density area cover parts of the Rumde, Yelwa, output, different parts of Yola were determined to have low Alkalawa, Luggere, Nassarawo and Doubeli wards in Jimeta.

Health care planners can use this In addition, the Mbamoi, Makama A and B, and Toungo model to make decisions regarding where to build new wards were identified in Yola-Town Figure 6.

As expected, health centres in Yola. For example, areas beyond the 1, these wards are generally high density residential areas, m accessibility zones can be used as a reference for while the low population density areas comprised of medium determining potential locations for additional health care and low density residential areas.


The spatial pattern of the centres in Yola. Yola population indicated an increased density in the old city centres and a decreased density in the southern and western areas of Jimeta and in the southern area of Yola-Town. This increasing population density in the old city centres suggests that the demand for health care services in these areas is high relative to other parts of the city. Figure 7.

Proximity to health care facilities in Yola from using the Euclidian buffer. Moreover, physicians make many Figure 6. Population density surface of Yola. Examining the accessibility of health facilities patients, and they orchestrate the demand for human and The simplest definition of accessibility for a given other resources in health care [38]. Figure 8 is a KDE map location considers how easy it is to get to the location. Although The concept of health care health care facilities are located in Jimeta, Yola-Town has a accessibility is one of the most analysed and debated higher density of physicians.

This distribution pattern is concepts in public health [35, 36, 37]. The debate on this attributed to two factors. First, if a health care centre has a issue was framed by researchers in terms of economic, larger number of physicians, then its surrounding areas structural, infrastructural, and behavioural aspects.

This would have a higher provider density. This scenario was in study is concerned with geographic proximity, which is a the case in Yola-Town where the FMC had three times as form of potential spatial accessibility [35, 36]. These areas are located in the northern and provider density.

This scenario was mainly found in Jimeta, southern city central districts. This model will be useful if where several health centres are located close to each other local health authorities plan to increase the supply of health that have a comparatively larger supply of physicians than care facilities.

In addition, it is important to note that areas with lowest physicians eastern and western parts of Jimeta comprised of medium and low density residential areas. On the other hand, it is the high and medium residential densities in the case of Yola-Town. Figure 9.

The Population-to- Health centre ratios. Physicians-to-population ratio For most developing countries, service use and health status data are lacking at an individual level.

Providing the appropriate number of Figure 8. Density of physicians per square kilometre. Health centre-to-population ratio health planners, especially when planning the future development of health care systems [39]. One way of define the accessibility of health centres is to Using the population and physician density results identify the provider-to-population ratios. This measure is Figures 6 and 8 , the same approach that was discussed in useful for gross supply comparisons between geopolitical units and service areas and is used by policy analysts to set section D was applied.

The output showed that a gross the minimum local supply standards and to identify under- shortage of physicians occurs in both Jimeta and Yola-Town served areas [11].

GIS can be used to compute these ratios by Figure The health care centre density and population results Figures 5 and 6 was analysed by using a raster calculator tool to perform mathematical operations.

This type of GIS function was used to assign weights to the raster data for suitability analysis. The population density in persons per square kilometre was divided by the density of health care centres per square kilometre. The output showed that the majority of in the Yola areas are not well served by health care facilities.

This scenario reflects the imbalance of health care facility provisions in the central part of Jimeta and Yola-Town, which have larger population sizes but a limited supply of health care centres.

Thus, the existing model s that were used by health care planners to providing health care facilities in Yola failed to achieve its ultimate goal. Therefore, several parts of Yola need additional health Figure The Population-to-Physicians ratios.

Murad, A gis application for modeling accessibility to health care delivery system in Yola. Lai, and S. Mak, Springer: Berlin, data. The GIS tools used in this study included symbols, , pp. Wang, and W. Guagliardo, C. Ronzio, I.

Tools and methodology to focus on patient safety

Cheung, E. Chacko, and J. Murad, Creating a gis application for health services at the existing facilities to an international standard, employing Jeddah city, Computers in Biology and Medicine, vol. Adsiteo and A. Husain, and A. Wright, 'Crossbreeding' Geographical Quantities, A. Ismaila wishes to thank The Scientific and Geographical Review, 45, , Burrough, R.

Heywood, S. Cornelius, S. Carver, Introduction to [2] O. Nnamuchi, Kleptocracy and its Many Faces: The geographical information systems. Nigeria, Journal of African Law, vol.

Health facility

Longley, M. Goodchild, D.This study sought to examine the types of health facilities utilized, the number of health personnel to residents of Ekiti State and factors influencing choice of health facilities patronized by the urban dwellers.

Instead of traditional numerical scoring, teams were asked to score failure occurrence and effects as low, medium, or high. Main article: Hsexyl A hospital is an institution for healthcare typically providing specialized treatment for inpatient or overnight stays.

This type of GIS function was used to assign weights to the raster data for suitability analysis. Buffer: involves drawing an Euclidean buffer C. Secondary health care: this level of health care parameters result in a bumpy density surface [26].

Wang, and W.

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